Publications: Dr Dimitrios Kollias
Kollias D, Arsenos A, Wingate J, Kollias S
(
2025
)
.
SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection
.
EAI Endorsed Transactions on Pervasive Health and Technology
vol.
11
,
Hu G, Kollias D, Papadopoulou E, Tzouveli P, Wei J, Yang X
(
2025
)
.
Rethinking Affect Analysis: A Protocol for Ensuring Fairness and Consistency
.
IEEE Transactions on Biometrics Behavior and Identity Science
vol.
PP
,
(
99
)
1
-
1
.
Cai Z, Dhall A, Ghosh S, Hayat M, Kollias D, Stefanov K, Tariq U
(
2024
)
.
1M-Deepfakes Detection Challenge
.
Conference:
Proceedings of the 32nd ACM International Conference on Multimedia11355
-
11359
.
Tao J, Ghosh S, Lian Z, Cai Z, Schuller BW, Dhall A, Zhao G, Kollias D et al.
(
2024
)
.
MRAC '24 Chairs' Welcome
.
MRAC 2024 - Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing
Ghosh S, Cai Z, Dhall A, Kollias D, Goecke R, Gedeon T
(
2024
)
.
MRAC Track 1: 2nd Workshop on Multimodal, Generative and Responsible Affective Computing
.
Conference:
Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing1
-
6
.
Arsenos A, Petrongonas E, Filippopoulos O, Skliros C, Kollias D, Kollias S
(
2024
)
.
NEFELI: A deep-learning detection and tracking pipeline for enhancing autonomy in Advanced Air Mobility
.
Aerospace Science and Technology109613
-
109613
.
Miah H, Kollias D, Pedone GL, Provan D, Chen F
(
2024
)
.
Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A Feasibility Study
.
Diagnostics
vol.
14
,
(
13
)
Morani K, Ayana EK, Kollias D, Unay D
(
2024
)
.
Detecting COVID-19 in Computed Tomography Images: A Novel Approach Utilizing Segmentation with UNet Architecture, Lung Extraction, and CNN Classifier
.
Intelligent Computing
,
vol.
1018
,
Springer Nature
Senadeera DC, Yang X, Kollias D, Slabaugh G
(
2024
)
.
CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention
.
Conference:
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
vol.
00
,
4888
-
4897
.
Kollias D, Arsenos A, Kollias S
(
2024
)
.
Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans
.
Conference:
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
vol.
00
,
4907
-
4914
.
Kollias D, Tzirakis P, Cowen A, Zafeiriou S, Kotsia I, Baird A, Gagne C, Shao C et al.
(
2024
)
.
The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition
.
Conference:
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
vol.
00
,
4587
-
4598
.
Karampinis V, Arsenos A, Filippopoulos O, Petrongonas E, Skliros C, Kollias D, Kollias S, Voulodimos A
(
2024
)
.
Ensuring UAV Safety: A Vision-Only and Real-Time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation
.
Conference:
2024 International Conference on Unmanned Aircraft Systems (ICUAS)
vol.
00
,
1072
-
1079
.
Arsenos A, Karampinis V, Petrongonas E, Skliros C, Kollias D, Kollias S, Voulodimos A
(
2024
)
.
Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection
.
IEEE Robotics and Automation Letters
Hu G, Papadopoulou E, Kollias D, Tzouveli P, Wei J, Yang X
(
2024
)
.
Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis
.
Conference:
2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)
vol.
00
,
1
-
9
.
Gerogiannis D, Arsenos A, Kollias D, Nikitopoulos D, Kollias S
(
2024
)
.
Covid-19 Computer-Aided Diagnosis through AI-Assisted CT Imaging Analysis: Deploying a Medical AI System
.
Conference:
2024 IEEE International Symposium on Biomedical Imaging (ISBI)
vol.
00
,
1
-
4
.
Morani K, Ayana EK, Kollias D, Unay D
(
2024
)
.
COVID‐19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception Classifier
.
International Journal of Biomedical Imaging
vol.
2024
,
(
1
)
Arsenos A, Kollias D, Petrongonas E, Skliros C, Kollias S
(
2024
)
.
Uncertainty-Guided Contrastive Learning For Single Source Domain Generalisation
.
Conference:
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
vol.
00
,
6935
-
6939
.
Kollias D, Sharmanska V, Zafeiriou S
.
Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond
.
Proceedings of the AAAI Conference on Artificial Intelligence
.
vol.
38
,
2813
-
2821
.
Hu G, Wei J, Song S, Kollias D, Yang X, Sun Z, Kaloidas O
(
2024
)
.
Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality Compensation
.
Conference:
2024 IEEE International Joint Conference on Biometrics (IJCB)
vol.
00
,
1
-
10
.
Kollias D, Vendal K, Gadhavi P, Russom S
(
2023
)
.
BTDNet: A Multi-Modal Approach for Brain Tumor Radiogenomic Classification
.
Applied Sciences
vol.
13
,
(
21
)
Chowdhury D, Das A, Dey A, Banerjee S, Golec M, Kollias D, Kumar M, Kaur G et al.
(
2023
)
.
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images
.
BenchCouncil Transactions on Benchmarks, Standards and Evaluations
vol.
3
,
(
2
)
Article
100119
,
100119
-
100119
.
Kollias D, Arsenos A, Kollias S
(
2023
)
.
A deep neural architecture for harmonizing 3-D input data analysis and decision making in medical imaging
.
Neurocomputing
vol.
542
,
Kollias D, Arsenos A, Kollias S
(
2023
)
.
AI-Enabled Analysis of 3-D CT Scans for Diagnosis of COVID-19 & its Severity
.
Conference:
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
vol.
00
,
1
-
5
.
Arsenos A, Davidhi A, Kollias D, Prassopoulos P, Kollias S
(
2023
)
.
Data-Driven Covid-19 Detection Through Medical Imaging
.
Conference:
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
vol.
00
,
1
-
5
.
Kollias D
(
2023
)
.
ABAW: Learning from Synthetic Data & Multi-task Learning Challenges
.
Lecture Notes in Computer Science
.
vol.
13806
,
157
-
172
.
Kollias D
(
2023
)
.
Ai-mia: Covid-19 detection & severity analysis through medical imaging
.
Conference:
European Conference on Computer Vision (ECCV)
Salpea N, Tzouveli P, Kollias D
(
2023
)
.
Medical Image Segmentation: A Review of Modern Architectures
.
Computer Vision – ECCV 2022 Workshops
,
vol.
13807
,
Springer Nature
Kollias D
(
2023
)
.
Abaw: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges
.
Conference:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Kollias D
(
2023
)
.
Multi-Label Compound Expression Recognition: C-EXPR Database & Network
.
Conference:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Papaioannou A, Gecer B, Cheng S, Chrysos G, Deng J, Fotiadou E, Kampouris C, Kollias D et al.
(
2022
)
.
MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis
.
Lecture Notes in Computer Science
.
vol.
13668
,
467
-
484
.
Arsenos A, Kollias D, Kollias S
(
2022
)
.
A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis
.
Conference:
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)
vol.
00
,
1
-
5
.
Kollias D
(
2022
)
.
A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis
.
Conference:
IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)
Kollias D
(
2022
)
.
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges
.
Conference:
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Kollias D
(
2022
)
.
MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition
.
Conference:
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
Kollias D, Zafeiriou S
(
2021
)
.
Analysing Affective Behavior in the second ABAW2 Competition
.
Conference:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
vol.
00
,
3645
-
3653
.
Kollias D, Arsenos A, Soukissian L, Kollias S
(
2021
)
.
MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis
.
Conference:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
vol.
00
,
537
-
544
.
Kollias D, Vlaxos Y, Seferis M, Kollia I, Sukissian L, Wingate J, Kollias S
(
2021
)
.
Transparent Adaptation in Deep Medical Image Diagnosis
.
Lecture Notes in Computer Science
.
vol.
12641
,
251
-
267
.
Yu M, Kollias D, Wingate J, Siriwardena N, Kollias S
(
2021
)
.
Machine Learning for Predictive Modelling of Ambulance Calls
.
Electronics
vol.
10
,
(
4
)
Kollias D, Schulc A, Hajiyev E, Zafeiriou S
(
2020
)
.
Analysing Affective Behavior in the First ABAW 2020 Competition
.
Conference:
2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)
vol.
00
,
637
-
643
.
Kollias D, Zafeiriou S
(
2020
)
.
Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset
.
IEEE Transactions on Affective Computing
vol.
12
,
(
3
)
595
-
606
.
Xu J, Lytchier A, Cursio C, Kollias D, Besenbruch C, Zafar A
(
2020
)
.
Efficient Context-Aware Lossy Image Compression
.
Conference:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
vol.
00
,
552
-
554
.
Kollias D, Cheng S, Ververas E, Kotsia I, Zafeiriou S
(
2020
)
.
Deep Neural Network Augmentation: Generating Faces for Affect Analysis
.
International Journal of Computer Vision
vol.
128
,
(
5
)
1455
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1484
.
Kollias D, Zafeiriou S
(
2020
)
.
VA-StarGAN: Continuous Affect Generation
.
Lecture Notes in Computer Science
.
vol.
12002
,
227
-
238
.
Kollias D, Zafeiriou S
(
2020
)
.
Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface
.
30th British Machine Vision Conference 2019, BMVC 2019
.
Kollias D, Tzirakis P, Nicolaou MA, Papaioannou A, Zhao G, Schuller B, Kotsia I, Zafeiriou S
(
2019
)
.
Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
.
International Journal of Computer Vision
vol.
127
,
(
6-7
)
907
-
929
.
Kollias D, Cheng S, Pantic M, Zafeiriou S
(
2019
)
.
Photorealistic Facial Synthesis in the Dimensional Affect Space
.
Lecture Notes in Computer Science
.
vol.
11130
,
475
-
491
.
Kollias D, Zafeiriou S
(
2018
)
.
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm
.
Conference:
2018 International Joint Conference on Neural Networks (IJCNN)
vol.
00
,
1
-
8
.
Tagaris A, Kollias D, Stafylopatis A, Tagaris G, Kollias S
(
2018
)
.
Machine Learning for Neurodegenerative Disorder Diagnosis — Survey of Practices and Launch of Benchmark Dataset
.
International Journal of Artificial Intelligence Tools
vol.
27
,
(
03
)
Kollias D, Tagaris A, Stafylopatis A, Kollias S, Tagaris G
(
2017
)
.
Deep neural architectures for prediction in healthcare
.
Complex & Intelligent Systems
vol.
4
,
(
2
)
119
-
131
.
Kollias D, Yu M, Tagaris A, Leontidis G, Kollias S, Stafylopatis A
(
2017
)
.
Adaptation and Contextualization of Deep Neural Network Models
.
Conference:
2017 IEEE Symposium Series on Computational Intelligence (SSCI)1
-
8
.
Tagaris A, Kollias D, Stafylopatis A
(
2017
)
.
Assessment of Parkinson’s Disease Based on Deep Neural Networks
.
Communications in Computer and Information Science
.
vol.
744
,
391
-
403
.
Zafeiriou S, Kollias D, Nicolaou MA, Papaioannou A, Zhao G, Kotsia I
(
2017
)
.
Aff-Wild: Valence and Arousal ‘in-the-Wild’ Challenge
.
Conference:
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)1980
-
1987
.
Kollias D, Nicolaou MA, Kotsia I, Zhao G, Zafeiriou S
(
2017
)
.
Recognition of Affect in the Wild Using Deep Neural Networks
.
Conference:
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)1972
-
1979
.
Kollias D, Tagaris A, Stafylopatis A
(
2016
)
.
On Line Emotion Detection Using Retrainable Deep Neural Networks
.
Conference:
2016 IEEE Symposium Series on Computational Intelligence (SSCI)1
-
8
.
Kollias D, Marandianos G, Raouzaiou A, Stafvlonatis A-G
(
2015
)
.
Interweaving Deep Learning and Semantic Techniques for Emotion Analysis in Human-Machine Interaction
.
Conference:
2015 10th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)1
-
6
.